%0 Journal Article
%T Comparative Study of Back Propagation Artificial Neural Networks and Logistic Regression Model in Predicting Poor Prognosis after Acute Ischemic Stroke
%A Jiehua Li
%A Lingqing Xu
%A Peisong Chen
%A Qiguang Li
%A Yaru Liang
%J Archive of "Open Medicine".
%D 2019
%R 10.1515/med-2019-0030
%X To investigate the predictive value of clinical variables on the poor prognosis at 90-day follow-up from acute stroke onset, and compare the diagnostic performance between back propagation artificial neural networks (BP ANNs) and Logistic regression (LR) models in predicting the prognosis
%K Back propagation artificial neural networks
%K Logistic regression model
%K Acute ischemic stroke
%K Poor outcome
%K Clinical variables
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463818/